摘要
在网络控制系统中,传统PID控制方法的参数的非线性增加了对其参数的调整难度。搭建了基于模糊PID控制的网络化控制系统平台,对模糊自适应PID控制算法在网络化控制系统中的参数整定进行了研究,确定了变量隶属函数。在Matlab环境下利用TrueTime工具箱和fuzzy模糊控制模块对传统PID控制算法和模糊自适应PID控制算法进行了仿真比较,结果表明模糊PID控制算法明显地改善了控制系统的动态性能,并且此方法易于实现,便于工程应用。
In networked control systems,the none-linearity of the parameters in traditional PID control method increases the difficulty in its parameter adjusting.The networked control platform based on adaptive fuzzy PID control strategies is set up.The approach to tune parameters of adaptive fuzzy PID is studied.The membership function is put forward.By employing the TrueTime tool box and fuzzy control modules in the Matlab environment,the performance of traditional PID control and that of adaptive fuzzy PID control is simulated,and the results are compared.Analysis shows that adaptive fuzzy control can improve the system＇s dynamic performance,and it can be applied into real projects easily.
出处
《武汉理工大学学报》
CAS
CSCD
北大核心
2010年第6期144-148,共5页
Journal of Wuhan University of Technology
基金
国家自然科学基金(50675166)
教育部博士点新教师基金(20070497059)
